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Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology

  • Mario Hevia Fajardo,
  • Per Kristian Lehre,
  • Jamal Toutouh,
  • Erik Hemberg,
  • Una-May O’Reilly

摘要

Competitive coevolutionary algorithms are used to model adversarial dynamics. The diversity of the adversarial populations can be changed with a spatial topology. To achieve more clarity in how a spatial topology impacts performance and complexity we introduce a spatial topology to a pairwise dominance coevolutionary algorithm named PDCoEA. The new algorithm is called STPDCoEA. We use a methodology for consistent algorithm comparison to empirically study the impact of topology, problem, and mutation rates on the dynamics and payoffs in STPDCoEA. We compare records of multi-run dynamics on three problems and observe that the spatial topology impacts the performance and diversity.